Posts

Some notes about linear regression

QFT is such an important piece in the filed of quantum computing. Understanding it is important to master most part of quantum algorithms, so let’s dive in.

Let’s reason if it’s possible to have a general quantum computer like we have with classical

I always struggled with understading deeply the QAOA algorithm, so now I want to pass my understanding in a simpler and more applied way. Basically a way a computer scientist would understand.

This semester many things happened, discover some interesting stuff about my masters and how Wavelets are amazing in so many ways, including feature extraction and image processing!

I’ve been working in some projects and for a specific problem I needed to have more control in my network. I need to setup more advanced stuff, like more specific routing rules, etc. I could have done that on my router, but it could affect the usage for my family. So, thank god, I’ve got some old TP-Link routers as a gift from a friend, who was trying to get rid of this “junk”. ...

Well, my course on Wavelets transform is reaching the end, which is pretty sad. When I was choosing the subjects to study this semester, this one was the strangest to me, I had never heard of such a topic like that, actually I had heard of DSP for trading and whatever, but never had a formal knowledge on that. Now, that I have a more solid foundation on the topic, I can say that I have no regrets on choosing it. It’s so interesting in so many ways. ...

As I pursue my master’s in computer science as by now a non-degree/special student, I decided to attend to two different classes this semester: Algorithms (because I like it) Wavelet Transforms (because it seemed interesting) Algorithms is a pretty well know topic in computer science which you may be familiar with. Everywhere and, weird or not, every class may be related to algorithms in some way (even my wavelet class). For this semester, we learned about some ways to calculate and analyze code to find bottlenecks, performance issues, possible improvements. In general, we learned about asymptotic behavior/analysis, so big O notation and its relatives θ and Ω. I’d like to talk more about this, so I’ll hold this topic for a future post. ...

Since I did my zeroclaw setup (post: how-i-failed-on-creating-my-own-ai-agent-rxdcmfxqpempm) I was playing around a bit with LLMs in general. I’ve been using a lot of ChatGPT, Gemini and Perplexity for studying and clarification in some topics. I also tested the new Muse Spark model from Meta AI and Github Copilot with Claude Haiku. Vibe coding is something that I always abominate, but after testing I found it very useful for prototyping and doing frontend applications fast, for that I installed Antigravity (take a look at the interface of my app: fngames). Even reported some exposed OpenAI API Keys for some companies. ...

So, I suppose that at this point, everyone has heard at least a bit about agents and Openclaw. This buzzy words came out of sudden and became the words of the decade. As a tech guy, I’m loving all the possibilities we have with them and for sure they are great tools. Despite of that, I had never had a grasp on creating my own agents, even though I always wanted. ...